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Senior MLOps Engineer

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Senior MLOps Engineer
๐ London (4 days onsite, 1 remote)
๐ No sponsorship available
๐ฏ 2-stage interview process
๐ ๏ธ Stack: Python, FastAPI/Flask/Django, ML Model deployment, CI/CD, Azure, MLflow/W&B, Prometheus/Grafana
๐ฐ Salary: ยฃ80k - 100k
We're working with a fast-growing AI Engineering team based in London on a Senior MLOps Engineer hire. The team has a genuine startup culture, small, focused, high ownership, backed by the scale and resources of a major global organisation. They build AI-driven technology that has measurable real-world impact on how large-scale infrastructure is designed and built.
Reasons to use Rodeo
Iโm in my final year doing Economics and I donโt know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer โ it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) donโt need a masters. Letโs look at the ones youโd be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet โ that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant โ 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
Youโve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon โ deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme โ client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right โ and where to focus when applying.
What you'll need
- Strong Python engineering background with hands-on experience in FastAPI, Flask, or Django
- Proven track record of deploying and monitoring ML models in production environments
- Experiment tracking and model versioning experience (MLflow/Weights & Biases)
- A background in startups or scaleups where you've had real ownership and worked in lean teams


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Nice to have
- Observability tooling such as Prometheus, Grafana, or ELK
- Azure cloud experience
- GPU/CPU workload optimisation
Get in touch if interested at: mmatysik@trg-uk.com
โIt took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what Iโve been looking for.โ
Jessica, London
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